Explores both counter-terrorism and enabling policy dimensions of emerging information technologies in national securityAfter the September 11th attacks, "connecting the dots" has become the watchword for using information and intelligence to protect the United States from future terrorist attacks.
Emergent information technologies and enabling policies for counter-terrorism
โ Scribed by Robert L. Popp, John Yen
- Publisher
- Wiley-Interscience; John Wiley [distributor]
- Year
- 2006
- Tongue
- English
- Leaves
- 462
- Series
- IEEE series on computational intelligence
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Popp and Yen have presented a the final reviews from a series of Defense Advanced Research Projects Agency (DARPA) programs with some additional emergent math models and three chapters on Law, Privacy and the need for legal standard in the application of the emergent technologies. A better approach may have been to put the chapters on Law, Privacy and so on first. Then, to allow or require the authors of the remaining chapters to consider and comment on the effect of law on technology, as well as technology on law.
This is a fine, if somewhat dated, review of emerging information technologies. The explanations vary from excellent to prolix. The book is as overpriced as most textbooks and may find use as an upper level survey course on the presented material.
โฆ Table of Contents
EVOLVING INTELLIGENT SYSTEMS......Page 5
CONTENTS......Page 7
PREFACE......Page 9
1 LEARNING METHODS FOR EVOLVING INTELLIGENT SYSTEMS......Page 19
2 EVOLVING TAKAGI-SUGENO FUZZY SYSTEMS FROM STREAMING DATA (eTS+)......Page 39
3 FUZZY MODELS OF EVOLVABLE GRANULARITY......Page 69
4 EVOLVING FUZZY MODELING USING PARTICIPATORY LEARNING......Page 85
5 TOWARD ROBUST EVOLVING FUZZY SYSTEMS......Page 105
6 BUILDING INTERPRETABLE SYSTEMS IN REAL TIME......Page 145
7 ONLINE FEATURE EXTRACTION FOR EVOLVING INTELLIGENT SYSTEMS......Page 169
8 STABILITY ANALYSIS FOR AN ONLINE EVOLVING NEURO-FUZZY RECURRENT NETWORK......Page 191
9 ONLINE IDENTIFICATION OF SELF-ORGANIZING FUZZY NEURAL NETWORKS FOR MODELING TIME-VARYING COMPLEX SYSTEMS......Page 219
10 DATA FUSION VIA FISSION FOR THE ANALYSIS OF BRAIN DEATH......Page 247
11 SIMILARITY ANALYSIS AND KNOWLEDGE ACQUISITION BY USE OF EVOLVING NEURAL MODELS AND FUZZY DECISION......Page 265
12 AN EXTENDED VERSION OF THE GUSTAFSON-KESSEL ALGORITHM FOR EVOLVING DATA STREAM CLUSTERING......Page 291
13 EVOLVING FUZZY CLASSIFICATION OF NONSTATIONARY TIME SERIES......Page 319
14 EVOLVING INFERENTIAL SENSORS IN THE CHEMICAL PROCESS INDUSTRY......Page 331
15 RECOGNITION OF HUMAN GRASP BY FUZZY MODELING......Page 355
16 EVOLUTIONARY ARCHITECTURE FOR LIFELONG LEARNING AND REAL-TIME OPERATION IN AUTONOMOUS ROBOTS......Page 383
17 APPLICATIONS OF EVOLVING INTELLIGENT SYSTEMS TO OIL AND GAS INDUSTRY......Page 419
Epilogue......Page 441
About the Editors......Page 443
About the Contributors......Page 445
Index......Page 457
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